Graph-Aware Transformer: Is Attention All Graphs Need?

9 Jun 2020Sanghyun YooYoung-Seok KimKang Hyun LeeKuhwan JeongJunhwi ChoiHoshik LeeYoung Sang Choi

Graphs are the natural data structure to represent relational and structural information in many domains. To cover the broad range of graph-data applications including graph classification as well as graph generation, it is desirable to have a general and flexible model consisting of an encoder and a decoder that can handle graph data... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper